- 19 5月, 2018 1 次提交
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由 Younghee Kwon 提交于
* Add boosted_trees to the official models * Comments addressed from review, and a test added; using absl.flags instead of argparser. * Used help_wrap. Also added instructions for inference.
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- 17 5月, 2018 1 次提交
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由 Qianli Scott Zhu 提交于
* Fix resnet missing layers. The official v1 model contains BN and Relu between input layer and pooling. * Remove the BN and Relu for V2. After some discussion with team and refer to existing implementation, those two layer seems to be only useful in V1. In V2, the first unit of the block will have a projection, that apply the BN and Relu for the shortcut. Adding a comment to make this clear. * Expand the comment section. * Remove the pre-trained checkpoint since its broken right now. Will restore it once we have new checkpoint generated.
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- 16 5月, 2018 1 次提交
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由 Katherine Wu 提交于
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- 12 5月, 2018 3 次提交
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由 Qianli Scott Zhu 提交于
* Update the wide_deep code for latest benchmark config. * Also update the transformer benchmark code.
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由 Qianli Scott Zhu 提交于
* Move the benchmark_uploader to new location. * Update benchmark logger to streaming upload. * Fix lint and unit test error. * delint. * Update the benchmark uploader test. Skip the import of benchmark_uploader when bigquery is not installed. * Merge the 2 classes of benchmark uploader into 1. * Address review comments. * delint. * Execute bigquery upload in a separate thread. * Change to use python six.moves for importing. * Address review comments and delint. * Address review comment. Adding comment for potential performance impact for model on CPU. * Fix random failure on py3. * Fix the order of flag saver to avoid the randomness. The test is broken when the benchmark_logger_type is set first, and validated when the benchmark_log_dir is not set yet.
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由 Katherine Wu 提交于
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- 11 5月, 2018 1 次提交
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由 Qianli Scott Zhu 提交于
The final BN and ReLU layer is only need for v2 model since it was doing preactivation in each block.
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- 10 5月, 2018 1 次提交
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由 Qianli Scott Zhu 提交于
* Add benchmark logging for wide_deep. * Fix lint error.
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- 09 5月, 2018 2 次提交
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由 Tobias Hinz 提交于
Update mnist_eager.py to use GPU if available and not specified otherwise. At the moment it uses the CPU even if a GPU is available, since "if flags_obj.no_gpu or tf.test.is_gpu_available():" in "def run_mnist_eager(flags_obj):" evaluates to True if a GPU is available.
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由 Taylor Robie 提交于
* forbid resnet v1 fp16 * address PR comments
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- 04 5月, 2018 5 次提交
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由 Taylor Robie 提交于
* rename --version flag and fix tests to correctly specify version rather than verbosity * rename version to resnet_version throughout * fix bugs * delint * missed layer_test * fix indent
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由 Qianli Scott Zhu 提交于
* Add dataset info and hyper parameter logging for benchmark. * Address review comments. * Address the view comment for data schema name. * Fix test cases. * Lint fix.
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由 Taylor Robie 提交于
* Revert 823da318. This restores distribution strategies for resnet. This commit is not a direct revert due to significant merge conflict resolution. * fix flags test * npc is no longer used in resnet
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由 Qianli Scott Zhu 提交于
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由 Taylor Robie 提交于
* fix treatment of main() and absl flags * add mnist_eager, and delint * add mnist_eager docstring
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- 03 5月, 2018 2 次提交
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由 Taylor Robie 提交于
* squash of modular absl usage commits * delint * address PR comments * change hooks to comma separated list, as absl behavior for space separated lists is not as expected
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由 Katherine Wu 提交于
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- 02 5月, 2018 2 次提交
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由 Asim Shankar 提交于
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由 Taylor Robie 提交于
* catch cpuinfo ImportError * add psutil import catch * fix typo
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- 01 5月, 2018 4 次提交
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由 Frank Chen 提交于
* Add new import paths to mnist_tpu.py This adds new import paths to mnist_tpu.py so individuals can check out the git repository and run `python mnist_tpu.py` without finagling with python import search paths. * Fix lint errors * Add disable= to pylint instructions * Remove parent path * Update comments
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由 Taylor Robie 提交于
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由 eantaev 提交于
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- 28 4月, 2018 1 次提交
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由 Qianli Scott Zhu 提交于
1. trainning hooks and train/eval function does not need to be declared several times. 2. change to use tf.logging.info instead of print 3. Show the current index and total count of training cycle, which give user some hint about where they are in the whole process.
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- 27 4月, 2018 1 次提交
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由 Katherine Wu 提交于
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- 24 4月, 2018 1 次提交
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由 Taylor Robie 提交于
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- 21 4月, 2018 1 次提交
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由 Qianli Scott Zhu 提交于
Previously the timestamp we pushed to bigquery was PDT, but the timezone spec was set to 'Z' (UTC). This is provide incorrect value to bigquery, and might affect analysis down the road.
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- 20 4月, 2018 2 次提交
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由 Qianli Scott Zhu 提交于
* Update the benchmark logger to have default logging. 1. Create global instance of benchmark logger, which default log to tf.logging.info 2. Allow user to config the logging location. 3. Fix nits in code and comment. * Fix lint and test error. * Address review comments. * Remove the duplicated print statement.
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由 Taylor Robie 提交于
This reverts commit 32aa6563.
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- 13 4月, 2018 1 次提交
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由 Taylor Robie 提交于
* begin transfer from contrib fork more changes to resnet_run_loop use AUTOTUNE in prefetch first pass at resnet with functional distribution strategies fix syntax error delint aesthetic tweaks delint and fix typos rip multi_gpu flag out of resnet entirely. Subject to saved model load verification update cifar10 and imagenet tests to reflect that the model function no longer need to know about multi_gpu fix imagenet test start addressing PR comments more PR response work * misc tweaks * add a comment * final pr tweaks * fix parsers
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- 11 4月, 2018 6 次提交
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由 Asim Shankar 提交于
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由 Taylor Robie 提交于
* change reference_data.py to use tf.gfile * simplify json treatment * Update reference files to account for a superficial change in batch_norm
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由 Asim Shankar 提交于
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由 Asim Shankar 提交于
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由 Qianli Scott Zhu 提交于
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由 Asim Shankar 提交于
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- 10 4月, 2018 2 次提交
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由 Karmel Allison 提交于
* Adding tests * Adding tests * Repackaging * Adding logging * Linting
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由 Taylor Robie 提交于
* Add fp16 support to resnet. * address PR comments * add dtype checking to model definition * delint * more PR comments * few more tweaks * update resnet checkpoints
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- 07 4月, 2018 2 次提交
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由 Qianli Scott Zhu 提交于
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由 Qianli Scott Zhu 提交于
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